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Load Forecast of Electric Vehicle Charging Station Considering Multi-Source Information and User Dec...

Load Forecast of Electric Vehicle Charging Station Considering Multi-Source Information and User Dec...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3e70c565e69d4ac684ada11e3aa6d6c4

Load Forecast of Electric Vehicle Charging Station Considering Multi-Source Information and User Decision Modification

About this item

Full title

Load Forecast of Electric Vehicle Charging Station Considering Multi-Source Information and User Decision Modification

Publisher

Basel: MDPI AG

Journal title

Energies (Basel), 2022-10, Vol.15 (19), p.7021

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

In view of the current multi-source information scenario, this paper proposes a decision-making method for electric vehicle charging stations (EVCSs) based on prospect theory, which considers payment cost, time cost, and route factors, and is used for electric vehicle (EV) owners to make decisions when the vehicle’s electricity is low. Combined wit...

Alternative Titles

Full title

Load Forecast of Electric Vehicle Charging Station Considering Multi-Source Information and User Decision Modification

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3e70c565e69d4ac684ada11e3aa6d6c4

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3e70c565e69d4ac684ada11e3aa6d6c4

Other Identifiers

ISSN

1996-1073

E-ISSN

1996-1073

DOI

10.3390/en15197021

How to access this item